import json
import os
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from requests.exceptions import HTTPError

from transformers.utils import (
    CONFIG_NAME,
    FLAX_WEIGHTS_NAME,
    TF2_WEIGHTS_NAME,
    TRANSFORMERS_CACHE,
    WEIGHTS_NAME,
    cached_file,
    get_file_from_repo,
    has_file,
)


A						=			'hf-internal-testing/tiny-random-bert'
A						=			os.path.join(TRANSFORMERS_CACHE, 'models--hf-internal-testing--tiny-random-bert')
A						=			'9b8c223d42b2188cb49d29af482996f9d0f3e5a6'





class     lowerCAmelCase__     (				unittest.TestCase			):


		'''simple docstring'''






		def   _snake_case       (       self     :     int		)      ->	Optional[Any]:
				_lowerCamelCase				   =  cached_file(snake_case__     ,  snake_case__		)
				# Should have downloaded the file in here
				self.assertTrue(os.path.isdir(snake_case__		)		)
				# Cache should contain at least those three subfolders:
				for subfolder in ["blobs", "refs", "snapshots"]:
						self.assertTrue(os.path.isdir(os.path.join(snake_case__     ,  snake_case__		)		)		)
				with open(os.path.join(snake_case__     ,  'refs'     ,  'main'		)		) as f:
						_lowerCamelCase				   =  f.read()
				self.assertEqual(snake_case__     ,  os.path.join(snake_case__     ,  'snapshots'     ,  snake_case__     ,  snake_case__		)		)
				self.assertTrue(os.path.isfile(snake_case__		)		)

				# File is cached at the same place the second time.
				_lowerCamelCase				   =  cached_file(snake_case__     ,  snake_case__		)
				self.assertEqual(snake_case__     ,  snake_case__		)

				# Using a specific revision to test the full commit hash.
				_lowerCamelCase				   =  cached_file(snake_case__     ,  snake_case__     ,  revision='9b8c223'		)
				self.assertEqual(snake_case__     ,  os.path.join(snake_case__     ,  'snapshots'     ,  snake_case__     ,  snake_case__		)		)
		def   _snake_case       (       self     :     Optional[int]		)      ->	int:
				with self.assertRaisesRegex(snake_case__     ,  'is not a valid model identifier'		):
						_lowerCamelCase				   =  cached_file('tiny-random-bert'     ,  snake_case__		)

				with self.assertRaisesRegex(snake_case__     ,  'is not a valid git identifier'		):
						_lowerCamelCase				   =  cached_file(snake_case__     ,  snake_case__     ,  revision='aaaa'		)

				with self.assertRaisesRegex(snake_case__     ,  'does not appear to have a file named'		):
						_lowerCamelCase				   =  cached_file(snake_case__     ,  'conf'		)
		def   _snake_case       (       self     :     Optional[Any]		)      ->	Optional[Any]:
				with self.assertRaisesRegex(snake_case__     ,  'does not appear to have a file named'		):
						_lowerCamelCase				   =  cached_file(snake_case__     ,  'conf'		)

				with open(os.path.join(snake_case__     ,  'refs'     ,  'main'		)		) as f:
						_lowerCamelCase				   =  f.read()
				self.assertTrue(os.path.isfile(os.path.join(snake_case__     ,  '.no_exist'     ,  snake_case__     ,  'conf'		)		)		)

				_lowerCamelCase				   =  cached_file(snake_case__     ,  'conf'     ,  _raise_exceptions_for_missing_entries=snake_case__		)
				self.assertIsNone(snake_case__		)

				_lowerCamelCase				   =  cached_file(snake_case__     ,  'conf'     ,  local_files_only=snake_case__     ,  _raise_exceptions_for_missing_entries=snake_case__		)
				self.assertIsNone(snake_case__		)

				_lowerCamelCase				   =  mock.Mock()
				_lowerCamelCase				   =  5_0_0
				_lowerCamelCase				   =  {}
				_lowerCamelCase				   =  HTTPError
				_lowerCamelCase				   =  {}

				# Under the mock environment we get a 500 error when trying to reach the tokenizer.
				with mock.patch('requests.Session.request'     ,  return_value=snake_case__		) as mock_head:
						_lowerCamelCase				   =  cached_file(snake_case__     ,  'conf'     ,  _raise_exceptions_for_connection_errors=snake_case__		)
						self.assertIsNone(snake_case__		)
						# This check we did call the fake head request
						mock_head.assert_called()
		def   _snake_case       (       self     :     List[str]		)      ->	Optional[Any]:
				self.assertTrue(has_file('hf-internal-testing/tiny-bert-pt-only'     ,  snake_case__		)		)
				self.assertFalse(has_file('hf-internal-testing/tiny-bert-pt-only'     ,  snake_case__		)		)
				self.assertFalse(has_file('hf-internal-testing/tiny-bert-pt-only'     ,  snake_case__		)		)
		def   _snake_case       (       self     :     Dict		)      ->	List[str]:
				# `get_file_from_repo` returns None if the file does not exist
				self.assertIsNone(get_file_from_repo('bert-base-cased'     ,  'ahah.txt'		)		)

				# The function raises if the repository does not exist.
				with self.assertRaisesRegex(snake_case__     ,  'is not a valid model identifier'		):
						get_file_from_repo('bert-base-case'     ,  snake_case__		)

				# The function raises if the revision does not exist.
				with self.assertRaisesRegex(snake_case__     ,  'is not a valid git identifier'		):
						get_file_from_repo('bert-base-cased'     ,  snake_case__     ,  revision='ahaha'		)

				_lowerCamelCase				   =  get_file_from_repo('bert-base-cased'     ,  snake_case__		)
				# The name is the cached name which is not very easy to test, so instead we load the content.
				_lowerCamelCase				   =  json.loads(open(snake_case__     ,  'r'		).read()		)
				self.assertEqual(config['hidden_size']     ,  7_6_8		)



		def   _snake_case       (       self     :     List[Any]		)      ->	Any:
				with tempfile.TemporaryDirectory() as tmp_dir:
						_lowerCamelCase				   =  Path(snake_case__		) / 'a.txt'
						filename.touch()
						self.assertEqual(get_file_from_repo(snake_case__     ,  'a.txt'		)     ,  str(snake_case__		)		)

						self.assertIsNone(get_file_from_repo(snake_case__     ,  'b.txt'		)		)
from __future__ import annotations

import math

import numpy as np
from numpy.linalg import norm


def 	lowerCamelCase					(	UpperCamelCase     :				np.ndarray			,       UpperCamelCase     :				np.ndarray							)   ->    float:
		return math.sqrt(sum(pow(a - b			,       2							) for a, b in zip(UpperCamelCase			,       UpperCamelCase							)							)							)


def 	lowerCamelCase					(	UpperCamelCase     :				np.ndarray			,       UpperCamelCase     :				np.ndarray							)   ->    list[list[list[float] | float]]:

		if dataset.ndim != value_array.ndim:
				_lowerCamelCase				   =  (
				    'Wrong input data\'s dimensions... '
				    F"""dataset : {dataset.ndim}, value_array : {value_array.ndim}"""
				)
				raise ValueError(UpperCamelCase							)

		try:
				if dataset.shape[1] != value_array.shape[1]:
						_lowerCamelCase				   =  (
						    'Wrong input data\'s shape... '
						    F"""dataset : {dataset.shape[1]}, value_array : {value_array.shape[1]}"""
						)
						raise ValueError(UpperCamelCase							)
		except IndexError:
				if dataset.ndim != value_array.ndim:
						raise TypeError('Wrong shape'							)

		if dataset.dtype != value_array.dtype:
				_lowerCamelCase				   =  (
				    'Input data have different datatype... '
				    F"""dataset : {dataset.dtype}, value_array : {value_array.dtype}"""
				)
				raise TypeError(UpperCamelCase							)

		_lowerCamelCase				   =  []

		for value in value_array:
				_lowerCamelCase				   =  euclidean(UpperCamelCase			,       dataset[0]							)
				_lowerCamelCase				   =  dataset[0].tolist()

				for dataset_value in dataset[1:]:
						_lowerCamelCase				   =  euclidean(UpperCamelCase			,       UpperCamelCase							)

						if dist > temp_dist:
								_lowerCamelCase				   =  temp_dist
								_lowerCamelCase				   =  dataset_value.tolist()

				answer.append([vector, dist]							)

		return answer


def 	lowerCamelCase					(	UpperCamelCase     :				np.ndarray			,       UpperCamelCase     :				np.ndarray							)   ->    float:
		return np.dot(UpperCamelCase			,       UpperCamelCase							) / (norm(UpperCamelCase							) * norm(UpperCamelCase							))


if __name__ == "__main__":
				import doctest

				doctest.testmod()